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Ehren Dohler

Biographic Data

ID5419459
NAMEEhren Dohler
GIVEN NAMESEhren
FAMILY NAMEDohler
SIGNATUREDOHLER E
AFFILIATIONSUniversity of North Carolina at Chapel Hill
ORCID0009-0003-3409-931X
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Exploring Treatment Completion and Participant Feedback in an Adapted Intervention among Incarcerated Men with Mental Illness

    Open Access•Melissa L Villodas, J Phillips et al.•ARTICLE•Community Mental Health Journal•2025•References: 58

    Treatment completion in interventions within correctional settings is challenging both generally and for people with mental illness (MI). Few studies have explored treatment completion alongside feedback from this population. We examined the rates of treatment completion alongside participant feedback to explore how participant feedback can improve treatment completion. Mixed-methods were used to examine treatment completion rates and clinical ch…

  • An evaluation framework for predictive models of neighbourhood change with applications to predicting residential sales in Buffalo, NY

    Open Access•Jan Voltaire Vergara, Maria Rodríguez et al.•ARTICLE•Urban Studies•2024•References: 42

    New data and technologies, in particular machine learning, may make it possible to forecast neighbourhood change. Doing so may help, for example, to prevent the negative impacts of gentrification on marginalised communities. However, predictive models of neighbourhood change face four challenges: accuracy (are they right?), granularity (are they right at spatial or temporal scales that actually matter for a policy response?), bias (are they equit…

No prominent works on this page.

  • An evaluation framework for predictive models of neighbourhood change with applications to predicting residential sales in Buffalo, NY

    Open Access•Jan Voltaire Vergara, Maria Rodríguez et al.•ARTICLE•Urban Studies•2024•References: 42

    New data and technologies, in particular machine learning, may make it possible to forecast neighbourhood change. Doing so may help, for example, to prevent the negative impacts of gentrification on marginalised communities. However, predictive models of neighbourhood change face four challenges: accuracy (are they right?), granularity (are they right at spatial or temporal scales that actually matter for a policy response?), bias (are they equit…

  • Exploring Treatment Completion and Participant Feedback in an Adapted Intervention among Incarcerated Men with Mental Illness

    Open Access•Melissa L Villodas, J Phillips et al.•ARTICLE•Community Mental Health Journal•2025•References: 58

    Treatment completion in interventions within correctional settings is challenging both generally and for people with mental illness (MI). Few studies have explored treatment completion alongside feedback from this population. We examined the rates of treatment completion alongside participant feedback to explore how participant feedback can improve treatment completion. Mixed-methods were used to examine treatment completion rates and clinical ch…

Computer Science (1 work) · Criminal Justice and Corrections Analysis (1 work) · Data-Driven Disease Surveillance (1 work) · Econometrics (1 work) · Economic growth (1 work) · Economics (1 work) · Gentrification (1 work) · Granularity (1 work) · Human Mobility and Location-Based Analysis (1 work) · Intervention (counseling (1 work)

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